A
securityA
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qualityFacilitates management and optimization of PostgreSQL databases, offering analysis, setup guidance, and debugging, while ensuring secure and efficient database operations.
Last updated -
3
1
16
AGPL 3.0
The MCP PostgreSQL Server provides structured, AI-enabled interaction with PostgreSQL databases through a safe and validated API. You can:
Connect to Databases: Establish connections using connection details (default connections available)
Execute Queries: Run parameterized SELECT queries for safe data retrieval
Modify Data: Perform INSERT, UPDATE, and DELETE operations
Explore Schema: List all tables and describe specific table structures
Validate Operations: Ensure query safety through read-only validation
Use Templates: Access pre-built analysis templates for streamlined data analysis
Support AI Systems: Enable structured database access for AI-powered analysis
Manages configuration through environment variables using .env files for storing database credentials, server settings, and security parameters.
Supports repository cloning for installation and source code management during development.
Provides example code for API interaction, allowing clients to execute queries and interact with analysis templates.
Handles dependency management and provides scripts for installation, development, testing, and linting.
Connects to a PostgreSQL database, providing tools for schema exploration, read-only SQL query execution, relationship visualization, and data analysis through predefined templates and sample data retrieval.
MCP Server Test Collection
This repository contains a collection of tests and implementations for various Model-Controller-Provider (MCP) server architectures. Each implementation focuses on different aspects of MCP pattern and database interactions.
Current Implementations
1. MCP PostgreSQL Server (mcp-psql/)
A PostgreSQL-specific implementation that:
- Provides safe database access through a structured API
- Enables AI systems to interact with databases
- Implements read-only query validation
- Includes pre-built analysis templates
- Supports schema exploration and data analysis
2. MCP Figma Server (mcp-figma/)
A Figma-specific implementation that:
- Enables AI systems to interact with Figma designs
- Provides structured access to Figma files and components
- Implements design analysis and manipulation capabilities
- Supports AI-driven design suggestions and modifications
- Includes pre-built design templates and patterns
Purpose
This repository serves as:
- A testing ground for different MCP implementations
- A reference for MCP pattern best practices
- A collection of database and design tool interaction patterns
- A showcase of AI integration approaches with various systems
Getting Started
Each implementation in this collection has its own setup instructions and documentation. Please refer to the specific implementation's README for details.
Contributing
New MCP implementations and test cases are welcome! Please follow these guidelines:
- Create a new directory for your implementation
- Include comprehensive documentation
- Follow the existing project structure
- Add appropriate tests
License
MIT
A server that connects to PostgreSQL databases and provides tools for safely exploring schemas, running read-only SQL queries, and performing data analysis with pre-built templates.
- Features
- Architecture
- Security Features
- Installation
- Configuration
- API Endpoints
- Example Queries
- Development
- License
Related Resources
Related MCP Servers
- -securityFlicense-qualityProvides read-only access to PostgreSQL databases, enabling users to inspect database schemas and execute read-only queries through a Model Context Protocol server.Last updated -4
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- -securityFlicense-qualityProvides read-only access to PostgreSQL databases, enabling LLMs to inspect database schemas and execute read-only SQL queries within a secure transaction context.Last updated -17,9771
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